Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix’s dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine’s next chapter with a new script to outmatch disease.

Position

The Senior Manager / Associate Director, Computer Systems Assurance (CSA) is an important technical and operational leader within the Nurix Quality Systems organization, responsible for owning and advancing Nurix's computer systems assurance program. As a virtual drug developer, Nurix operates through a lean internal infrastructure and relies on a curated ecosystem of Software-as-a-Service (SaaS) and cloud-hosted platforms to support GxP-regulated activities across clinical development, quality operations, manufacturing oversight, and regulatory submissions. This role will serve as the primary subject matter expert and program owner for all CSA and computerized system validation (CSV) activities at Nurix.

Reporting to the Vice President / Senior Director, Quality Systems, this individual will establish and maintain Nurix's risk-based CSA framework aligned with current regulatory expectations, including the FDA's 2022 guidance on computer software assurance, GAMP 5 (2nd edition), and applicable 21 CFR Part 11 and Annex 11 requirements. The role requires an individual who combines deep technical knowledge of GxP computerized systems with practical experience in SaaS and cloud-based platform qualification, and who can translate regulatory requirements into pragmatic, fit-for-purpose validation approaches that support a modern, agile biotech environment. This is a high-impact, program-ownership role requiring both strategic vision and hands-on execution. The successful candidate will work closely with Quality, IT, Regulatory Affairs, CMC, Clinical Operations, and external vendors to ensure that all GxP-critical systems are appropriately assessed, validated, and maintained in a compliant state. The individual will champion a risk-based, science-driven approach to CSA across the organization.

Responsibilities

CSA Program Ownership and Strategy

• Own and maintain Nurix's Computer Systems Assurance policy framework, SOPs, and risk-based validation strategy, aligned with FDA CSA guidance (2022), GAMP 5 (2nd edition), 21 CFR Part 11, EU Annex 11, and applicable ICH guidelines.
• Define and implement a fit-for-purpose, risk-tiered approach to system qualification for SaaS and cloud-hosted GxP applications, recognizing the vendor-managed nature of modern software platforms.
• Maintain the GxP system inventory; conduct and document periodic system risk assessments to classify systems and determine appropriate validation scope and rigor.
• Establish and maintain processes for vendor assessment, including review of vendor SOC 2 reports, quality agreements, and audit strategies appropriate for SaaS providers.
• Drive continuous improvement of the CSA program through benchmarking, regulatory intelligence, and adoption of industry best practices.

System Validation and Qualification Execution

• Lead and execute validation activities for GxP SaaS platforms including, but not limited to, eQMS (e.g., Veeva Vault), electronic document management, clinical data management, regulatory information management, and laboratory information systems.
• Author and review validation documentation including Validation Master Plans (VMPs), User Requirements Specifications (URS), Risk Assessments, Vendor Assessments, Validation Protocols (IQ/OQ/PQ), Traceability Matrices, and Validation Summary Reports.
• Manage validation activities associated with system implementations, major configuration changes, upgrades, and periodic re-validation reviews, applying critical thinking to scope validation effort proportionate to system risk and change impact.
• Coordinate validation testing activities with cross-functional stakeholders; ensure test scripts are appropriately designed to demonstrate fitness for intended use.
• Review and approve validation deliverables prepared by internal teams, vendors, or external validation consultants.

21 CFR Part 11 and Data Integrity

• Serve as the internal subject matter expert for 21 CFR Part 11 and EU Annex 11 requirements; assess systems for compliance and provide guidance to cross-functional partners.
• Partner with IT and system owners to ensure electronic records and electronic signature controls are properly implemented and documented in all GxP systems.
• Support data integrity assessments and remediation initiatives; apply ALCOA+ principles to guide compliant system design and use.

Change Management and Periodic Review

• Manage the computerized systems change control process; evaluate proposed changes for validation impact and establish appropriate assessment, testing, and documentation requirements prior to implementation.
• Own and execute the periodic review program for validated GxP systems; assess continued fitness for intended use and compliance with current regulatory expectations.
• Maintain validation status documentation and ensure validation files are audit-ready at all times.

Inspection Readiness and Regulatory Support

• Support preparation for regulatory agency inspections; serve as the CSA subject matter expert during FDA, EMA, and other Health Authority inspections and ensure validation documentation is complete, current, and accessible.
• Contribute to relevant sections of regulatory submissions and respond to agency questions related to computerized systems and data integrity.
• Monitor evolving regulatory guidance and industry standards related to CSA, CSV, data integrity, and cloud-based systems; proactively adapt Nurix's program to reflect current expectations.

Cross-Functional Partnership and Training

• Serve as the primary point of contact and internal consultant for all GxP system owners across Quality, IT, Regulatory Affairs, CMC, and Clinical Operations.
• Develop and deliver CSA training for system owners, end users, and other stakeholders to build organizational capability and awareness.
• Partner with IT and vendor project teams to embed validation requirements early in system selection and implementation processes.

Required Qualifications

• Bachelor's degree in computer science, information systems, life sciences, pharmaceutical sciences, or a related field.
• 7–10+ years of progressive experience in computer systems validation and/or computer systems assurance in a GxP-regulated pharmaceutical, biopharmaceutical, or biotechnology environment.
• Demonstrated expertise in current regulatory requirements for computerized systems, including FDA 21 CFR Part 11, EU Annex 11, FDA CSA guidance (2022), and GAMP 5 (2nd edition).
• Hands-on experience validating SaaS and cloud-hosted GxP platforms; understanding of vendor-managed environments and shared responsibility models.
• Proficiency authoring and reviewing CSA/CSV deliverables: VMPs, URSs, Risk Assessments, IQ/OQ/PQ protocols, traceability matrices, and validation summary reports.
• Strong working knowledge of data integrity principles (ALCOA+) and their application to electronic records management and GxP system design.
• Experience managing system change control and periodic review programs for validated GxP systems.
• Ability to operate as both program owner and individual contributor in a lean, virtual organizational model; comfortable managing validation activities without a large internal support team.
• Excellent written and verbal communication skills; able to translate complex technical and regulatory requirements into practical guidance for diverse stakeholders.
• Strong organizational skills and attention to detail; demonstrated ability to manage multiple concurrent programs and priorities in a fast-paced environment.

Preferred Qualifications

• Experience with eQMS validation (e.g., Veeva Vault) and familiarity with Veeva's Qualified System approach and available supplier documentation.
• Familiarity with clinical development platforms such as electronic data capture (EDC), regulatory information management (RIM), or clinical trial management systems (CTMS) in a validated context.
• Experience supporting FDA, EMA, or equivalent Health Authority inspections as a CSA subject matter expert.
• Exposure to laboratory informatics systems (LIMS, ELN) and their GxP qualification requirements.
• Experience in a virtual or lean biotech environment managing validation activities through external vendors and consultants.
• Working knowledge of cybersecurity frameworks and their intersection with GxP system compliance (e.g., NIST, SOC 2).
• Advanced degree in a relevant scientific, engineering, or regulatory discipline.

Fit with Nurix Culture and Values

• You know the regulations deeply and apply them with judgment, designing validation approaches that are rigorous where it matters and efficient everywhere else. You bring expertise with pragmatism —
• You are comfortable as the go-to expert, driving the CSA program forward proactively rather than waiting for direction, and you take accountability for outcomes. You own the program —
• You build trusted relationships across Quality, IT, and the business, and you understand that a well-designed, compliant systems environment is an enabler of Nurix's mission to develop important medicines for patients. You partner with purpose —

Location: Brisbane, CA - Onsite 

Salary Ranges: Senior Manager, CSA(Quality)      - $170,538 – $193,493                                  
                           Associate Director, CSA(Quality) - $190,269 – $216,360

Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix.  By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/). 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Position Summary:

The Associate Director, GxP Systems will report to the Sr. Director, Commercialization Systems and will be responsible for leading the implementation, validation, and support of GxP-regulated systems to enable Quality Assurance, Regulatory, Clinical, and Process Development & Manufacturing (PD&M) in a commercial biotech environment. This role will play a pivotal part in supporting regulatory, compliance, and for commercialization. Working with Quality Assurance, Medical Affairs, Regulatory Affairs, Clinical Operations, and PD&M functions to ensure systems are fit-for-purpose, validated and aligned with evolving business requirements.

Responsibilities:

• Serve as the System Owner and hands-on administrator for GxP systems (e.g., TraceLink, Lorenz DocuBridge, Egnyte Life Sciences, ZenQMS, Global Vision, Veeva), overseeing system lifecycle, performance, and compliance
• Participate in system implementation activities, including vendor selection, requirements gathering, testing, and deployment to ensure alignment with business and regulatory needs
• Provide oversight and direction for Computer System Validation (CSV) activities and validation documentation, partnering with the Validation Engineer to ensure regulatory compliance and audit readiness
• Own and lead Change Control processes for all GxP systems, including impact assessments, risk evaluations, documentation, coordination of testing, and release management
• Perform system administration activities, including user access provisioning, role management, periodic access reviews, and audit trail monitoring
• Oversee system maintenance, enhancements, and issue resolution (e.g., upgrades, patches, changes), ensuring appropriate validation impact assessments, documentation updates, and minimal business disruption
• Collaborate with IT and vendors to support integration, system performance optimization, and resolution of technical issues
• Develop and maintain system-related documentation, including SOPs, Systems Inventory, administrative procedures, and work instructions in collaboration with Quality Assurance and business stakeholders
• Provide SME support during FDA audits and inspections, including preparation, documentation review, and representation of system controls and validation status
• Drive continuous improvement by identifying gaps, inefficiencies, and opportunities for system scalability and automation
• Translate business requirements into effective system solutions, acting as a key liaison between business stakeholders and technical teams
• Manage project timelines, risks, and deliverables to ensure successful and compliant execution of system initiatives

Qualifications:

• Bachelor’s degree in Life Sciences, Information Systems, Computer Science, Engineering, or a related field; advanced degree preferred
• 10-12 years of hands-on experience with GxP systems in Life Sciences, including system administration, validation oversight, and operational support
• Proven experience implementing and validating systems such as eQMS, TraceLink, LMS, Validated Documents and Data storage solutions (such as Box for GxP or Egnyte Life Sciences), or ERP systems (e.g., NetSuite, Oracle, SAP) in a GxP-regulated environment
• Strong understanding of CSV, data integrity, Part 11 compliance, and regulatory expectations (FDA, EMA, ICH)
• Experience partnering with validation/CSV resources while maintaining accountability for system compliance and validation outcomes
• Proven experience owning and managing Change Control processes for GxP systems
• Experience supporting pre-commercial biotech organizations transitioning to commercialization
• Ability to balance strategic oversight with hands-on system administration and operational responsibilities
• Strong cross-functional collaboration skills across IT, QA, Regulatory, and Technical Operations
• Experience managing vendors and implementation partners
• Excellent troubleshooting, analytical, and problem-solving skills
• Strong communication skills with the ability to translate technical concepts into business terms and influence stakeholders

CSQ327R30

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

PsiQuantum is rapidly scaling to build the world's first useful fault-tolerant quantum computer. At the forefront of this effort, we need a motivated physicist/engineer to join our new laboratory in Brisbane and help us test the limits of our beyond-state-of-the-art quantum photonic platform. This role will focus on the validation and high-performance operation of our quantum photonic systems, and the development and validation of related methodology. The successful candidate will be responsible for executing experiments—including data analysis and interpretation—to validate and calibrate quantum computer subsystems to fault-tolerant levels at high cadence. They will also assist with experimental design. They will identify physical processes that limit photonic quantum performance and feedback new understandings to improve designs and operations of future generation of quantum hardware, and new generations of validation methodologies. They will collaborate broadly with design and engineering teams across all of PsiQuantum’s technical disciplines, including optics, quantum optics, photonics, electronics, cryogenics, quantum architecture, and software to understand system performance and inform engineering models.

Responsibilities:

• Be part of a team pushing photonic quantum computing hardware to fault-tolerant quantum performance.
• Development of classical and non-classical measurements and procedures, and execution of these, to validate optical quantum computer systems performance.
• Develop and verify methods for calibration, self-test, and control of novel quantum photonic systems.
• Develop clear and quantitative metrics for quantum performance.
• Work with other teams to ensure that developed, defined, and documented validation objectives fit with the broader company mission and timeframes.
• Develop requirements for the software and electronics teams to implement procedures and manage data.
• Analyse, reduce, and deliver experimental data. Work with other engineering teams to ensure that the data informs engineering models for system performance.
• Debug complex systems and work with other engineering teams to conduct failure analysis and resolve design or manufacturing issues as appropriate.
• Communicate validation outcomes broadly to internal stakeholders and help guide corrective actions.
• Work on-site in the lab in Brisbane, Australia.

Experience/Qualifications:

• Ph.D or equivalent experience in experimental quantum optics/quantum physics, photonic/electrical engineering, or a related field, and a demonstrated track record of delivering high quality research outcomes.
• Demonstrated expertise in the design and execution of complex quantum experiments in a cross-functional environment.
• Broad technical knowledge with ability to dive deep into required technical areas of our systems including hardware, software, controls, precision measurement, photonics, and quantum information.
• Software development for instrumentation, controls, test equipment, and data analysis (python preferred).
• Proven team player with an ability to work effectively across departments, sites, time zones.
• Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences including senior leadership and technical experts.
• Demonstrated interest in PsiQuantum’s mission and vision for quantum computing, with an ability to contribute within a fast-paced start-up environment consistent with PsiQuantum’s values of communication, collaboration, respect, results, and challenge.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

Role

The AI Team at Vivodyne tackles some of the hardest and most interesting challenges in science and engineering. With access to extraordinarily feature-rich and massive-scale Vivodyne human tissue imagery, we are advancing the frontiers of artificial intelligence and its applications in biology. We are building a portfolio of AI technologies to automate the discovery, development, and de-risking of novel therapies using our unique technology platform, including single-cell 3D phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for robotic planning & study design, among others.

As an AI Senior Scientist, you will leverage your deep expertise in developing large-scale models (including Transformer, Diffusion, and hybrid architectures) and Generative AI solutions to help turn our state-of-the-art imaging and multi-omics datasets into groundbreaking scientific insights. You will collaborate closely with biologists, engineers, and AI specialists to deliver robust, production-ready algorithms and models that power Vivodyne’s high-impact discoveries.

This role will be based on-site at our offices in Brisbane, California

Responsibilities

• Scientific Innovation — Work closely with internal and external stakeholders to understand their scientific objectives and innovate new approaches that utilize Vivodyne’s massive-scale imaging and multi-omics datasets.

• Model Development — Lead hands-on development of cutting-edge machine learning models (Transformers, Diffusion, hybrid architectures, etc.) with a focus on image processing, image enhancement, and Phenomap embeddings.

• Data Pipeline Optimization — Build and deploy pipelines capable of scaling to petabyte-scale data, ensuring robust MLOps practices on AWS or equivalent cloud platforms.

• Multimodal Integration — Explore and develop novel methods to incorporate multi-omics data into imaging-based Phenomaps, advancing the state of the art in multimodal phenotypic analysis.

• Collaboration & Communication — Partner with tissue engineers, microfluidics experts, and robotics engineers to refine data collection strategies, provide feedback on imaging system performance, and identify opportunities for improved AI-driven solutions.

• Scientific Rigor & Leadership — Uphold scientific excellence through peer reviews, proper documentation, and clear communication. Drive a culture of continuous improvement, best practices, and adherence to rigorous research methodologies.

• Scalability & Efficiency — Emphasize modularity, composability, and performance efficiency in designing and implementing high-throughput compute and analytics pipelines.

• Domain & Technical Growth — Remain current with the latest research trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training. Proactively share knowledge and mentor teammates to foster overall organizational expertise.

Requirements and Expectations

• Scientific Excellence — Stay current with AI/ML research, especially in Generative AI, Transformers, Diffusion models, and multi-modal architectures. Apply rigorous, data-driven methods for sound outcomes.
• Hands-On Leadership — Set high standards for model development and code quality, mentoring team members and fostering innovation.
• Accountability — Own model and infrastructure development from concept to deployment, delivering reliable, scalable solutions aligned with Vivodyne’s mission.
• Problem Solving & Adaptability — Develop creative solutions to novel research challenges, thriving in a fast-paced, dynamic startup environment.
• Collaboration & Communication — Work cross-functionally to align AI strategies with business goals, ensuring clear communication and consensus-building.
• Delivering Results — Prioritize impactful research, using project management best practices to track progress, mitigate risks, and meet deadlines.
• Architecture & Coding — Design scalable, cost-effective systems and produce clean, well-documented code with continuous testing and governance compliance.
• Resource Optimization — Apply financial discipline to maximize the efficiency of compute, storage, and third-party services.
• Team & Thought Leadership — Foster an inclusive environment, mentoring future leaders and representing Vivodyne in AI research and industry discussions.

Qualifications

• Education & Experience

• PhD in Computer Science, Applied Mathematics, or a related field, or equivalent practical experience.
• Proven expertise developing and deploying advanced ML architectures (Transformers, Diffusion, multi-modal models) in Generative AI settings.
• Demonstrated history of success with image processing and large-scale model training.

• Technical Skills

• Strong knowledge of AWS or another major cloud provider for MLOps, big data processing, and scalable computing.
• Experience building models for petabyte-scale datasets and understanding the associated architectural and operational complexities.

• Domain Expertise (Preferred)

• Familiarity with biological or biomedical imaging; advanced knowledge in multi-modal Phenomaps, especially integrating imagery with multi-omics data, is a major plus.

• Additional Desired Skills

• Prior experience with HPC, GPU clusters, or distributed computing frameworks.
• Comfortable with container orchestration and open-source data engineering/ML frameworks.

• Soft Skills & Leadership

• Strong written and oral communication skills, with a proven ability to present complex technical topics to non-experts.
• Demonstrated ability to thrive in ambiguous environments, driving clarity and direction with minimal supervision.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.